CN1794242A - Failure diagnosis data collection and publishing method - Google Patents
Failure diagnosis data collection and publishing method Download PDFInfo
- Publication number
- CN1794242A CN1794242A CN 200510060703 CN200510060703A CN1794242A CN 1794242 A CN1794242 A CN 1794242A CN 200510060703 CN200510060703 CN 200510060703 CN 200510060703 A CN200510060703 A CN 200510060703A CN 1794242 A CN1794242 A CN 1794242A
- Authority
- CN
- China
- Prior art keywords
- data
- data acquisition
- service
- acquisition end
- upnp
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Abstract
This invention relates to a method for fault diagnosis data collection and issuance including: 1, classifying the important data related in the fault diagnosis system: sample data, matching data and state control data, 2, classifying the data collection and issued related operation into two: Get and Set, 3, setting up service models of fault diagnosis and a detection system, 4, realizing interfaces of five services at the intermediate module in a data collection end network, 5, realizing the call interfaces of five services in the intermediate module of a user monitor end network, which is advantaged at supporting the dynamic changes of a network structure to finish the automatic configuration of moving in and out of the data collecting end and remote controlling target devices by networks.
Description
Technical field
The present invention relates to technical fields such as embedded failure diagnosis, data acquisition, UPnP network middleware, mainly is a kind of failure diagnosis data collection and dissemination method.
Background technology
First aspect: fault diagnosis system
Fault diagnosis system has vital role in industry spot, and the development that the method means of fault diagnosis have experienced decades has had considerable raising.Judge and " preventative maintenance regularly " mode from the on-site experience in 19th century, portable fault diagnosis instrument to early stage in 20th century, again to 20 th century later, along with nearest evolution of embedded technology, occurred indicating the beginning in hand-held failure diagnostic apparatus epoch based on embedded chip and DSP (digital signal processing chip).The hand-held failure diagnostic apparatus has overcome conventional one-piece machine failure diagnostic apparatus basically because the limited limitation of computing power shortage signal analysis ability, make diagnostic means that huge raising arranged, in addition, general embedded system all has higher integrated level, so the very high ratio of performance to price is arranged, thereby becomes the trend framework of present hand-held failure diagnostic apparatus.
Yet the current state to certain equipment that the hand-held failure diagnostic apparatus can only isolate is carried out data acquisition and analysis, if the numerous unit of enterprise is sorted out contrast, the historical data comparative analysis, unable to do what one wishes with the hand-held failure diagnostic apparatus with regard to some.Another kind of popular fault diagnosis Networking Solutions ﹠ provisioned at present is based on the server-client framework of WEB.But this network fault diagnosis system also has shortcoming, and is because it is based on the IP real address, not enough to the dynamic support that the framework of network changes.
Second aspect: the data collector in the malfunction monitoring diagnostic system
Data collector is the key equipment in the whole malfunction monitoring diagnostic system, and its design philosophy and performance directly have influence on the structure and the performance of total system.
The domestic and international popular hand-held data collection device of the nineties in last century is widely used in industry spot because of advantages such as volume are little, easy to carry, but because its acp chip mostly is 8 a single-chip microcomputer, processing power is limited, can only gather gradual amount such as the discrete fast variable such as moment amplitude, peak-to-peak value of single channel vibration signal and temperature, flow and can not realize the high sampling rate collection of the in real time fast parameter certificate of multichannel and the synchronous dynamic time-frequency domain shows and the comparative analysis of historical data, thereby can not adapt to key equipment system monitoring and the pre-needs of judging of fault.Can satisfy the essential industry occasion to equipment operating data sampling, the speed of handling and the requirement of aspect of performance though add the alternative hand-held data collection instrument of system of data capture card with industrial computer, but, be difficult to many relevant devices be carried out comprehensive monitoring with a failure diagnostic apparatus in industry spot because the industrial computer volume is relatively large; In addition, because the industrial computer relative price is higher,, every equipment will improve production cost greatly if joining a failure diagnostic apparatus.
The third aspect: UPnP---universal plug and play technique
UPnP is the network middleware of a new generation, and it has expanded the notion of traditional stand-alone device and computer system, and traditional plug and play (PnP) function is expanded to network environment, in case make and equipment and service access network just can use immediately.The UPnP modelling can be supported " zero configuration ", the autonomous networking of the distinct device of a large amount of equipment manufacturers, automatic discovery etc.By UPnP, equipment can add network dynamically, obtains the IP address, find on the network other equipment with and provide service---everything all is to finish automatically, realize the configuration intellectuality of monitoring instrument network.
At present, the UPnP technology mainly applies to the wired home electronic applications, generally realizes in the equipment of higher-end.The UPnP technology is applied to commercial unit monitoring field, in embedded system, realize UPnP, still in the trial stage than low side.
Summary of the invention
The present invention mainly solves the contradiction of above-mentioned embedded failure diagnosis system between the trend of extensive, web development and the configuration management difficulty therefore brought, and a kind of failure diagnosis data collection and dissemination method are provided.
Design considerations of the present invention is: UPnP is a kind of based on the framework on the universal network agreement (TCP/IP, HTTP, SOAP or the like), the point-to-point interconnection of providing convenience for PC or smart machine.The UPnP framework has been supported equipment, the seamless connection of service, automatic discovery, zero configuration.The UPnP framework carries out alternately with the form and the outside of service, and this mode provides the facility of modeling for Design of failure diagnosis system.
Hardware environment of the present invention is the industry control fault diagnosis network environment of being made up of equipment such as data collecting card, industry control server, industrial local network, WAP, PDA.The present invention is mainly applied to data acquisition equipment and user monitoring equipment, realizes data acquisition and issuing function.
The technical solution adopted for the present invention to solve the technical problems: this failure diagnosis data collection and dissemination method, performing step is as follows:
The first step is divided three classes significant data related in the fault diagnosis system: sampled data, configuration data and state control data.
Sampled data is the equipment operating data that data acquisition end capture card is gathered from monitoring objective equipment, and single sampled data bag size is a 10K byte number magnitude, has data layout closely; Sampled data is outwards issued by the data acquisition end, flows to user monitoring end or database service end.
Configuration data is used for data capture card function is customized, and has stipulated the frequency of sampling, pipeline number, sampling pattern or the like attribute, and single configuration data bag size is hundreds of byte number magnitudes; Configuration data works in data acquisition end and user's control end simultaneously, the data acquisition end reads allocation list during system start-up from storer, when watching certain data acquisition end, the user monitoring end at first obtains its allocation list from this data acquisition end, if the user monitoring end revised allocation list and made it come into force, then new configuration data sends to collection terminal and is reloaded from monitoring client.
State control data is described the collection terminal running status, and single status control data size is that the cross assistant warden is other.State control data is present in the data acquisition end, controlling its operation or stopping, thereby the user monitoring end ask for state control data to collection terminal and learn its running status, revise its running status thereby also can revise these data.
The mutual data of each node are mainly above three kinds in fault diagnosis and the monitor network, and each mixed-media network modules mixed-media in the fault diagnosis network cooperates collection and the issue of finishing these data.
In second step, the operation that data acquisition is relevant with issue is divided into two classes: Get generic operation and Set generic operation.
The Get generic operation refers to by the user monitoring end and proposes to the data acquisition end, and the operation of obtaining some data comprises and obtains sampled data, obtains configuration data, obtains state control data.When the Get generic operation took place, fault diagnosis system was finished following action:
1. the user monitoring end proposes the request obtain certain class data to the data acquisition end;
2. the data acquisition end obtains request, carries out mutually deserved collection housekeeping;
3. the data acquisition end is to user's control end feedback data;
4. the user monitoring end obtains feedback, and resolution data is used for other function.
The Set generic operation refers to by user's control end and transmits some data to the data acquisition end, makes to comprise the operation that the data acquisition end obtains being provided with configuration data being set and state control data being set.When the Set generic operation took place, fault diagnosis system was finished following action:
1. the user monitoring end proposes the request of certain class data is set to the data acquisition end, and transmits this data;
2. the data acquisition end obtains request and corresponding data, resolution data;
3. the data acquisition end is finished relative set, and feeds back the performance that is provided with to the user monitoring end;
4. the user monitoring end obtains feedback, takes corresponding processing.
In the 3rd step, set up the fault diagnosis and the detection system service model that meet the UPnP standard.
According to the analysis of two steps in front design, and according to the device definition basic model of UPnP, the present invention has extracted failure data acquisition and the basic service that issue is comprised, and has proposed five following service models:
● the real-time running state data, services (Get_DATA) of acquisition target device,
● acquisition target device systematic parameter allocation list service (Get_PCT),
● modifying target device systems parameter configuration table service (Set_PCT),
● acquisition target device running status service (Get_RDS),
● modifying target equipment running status service (Set_RDS).
The functional requirement of most of Rotary Fault Diagnosis System to the data collection point satisfied in these five kinds of services, is simplifying and complete abstract model the failure diagnosis data collection service.
The 4th step is at the interface of five kinds of services of data acquisition end network middleware module realization.
Data acquisition end network middleware module is a module that meets UPnP Device standard, has born all external network interaction functions of data acquisition end, and the calling interface of five kinds of services externally is provided.The all corresponding and Action who meets the UPnP standard of each service.After collection terminal UPnP middleware received the services request that other nodes are sent on the network, certain corresponding Action can be activated, and is exactly that the pairing function body of Action can be performed specifically, thereby provides corresponding service to the external world.The pairing function of these Action is:
◆void?UPnPFD_UPnP_Service_Get_IPT(void*upnptoken)
◆void?UPnPFD_UPnP_Service_Get_PACKAGE(void*upnptoken)
◆void?UPnPFD_UPnP_Service_Get_RDS(void*upnptoken)
◆void?UPnPFD_UPnP_Service_Set_IPT(void*upnptoken，unsigned?char*current_ipt，int_new_iptLength，int?current_length_ipt)
◆void?UPnPFD_UPnP_Service_Set_RDS(void*upnptoken，int?current_rds)
These functions are undertaken alternately by the process of being responsible for obtaining from capture card data in shared drive mechanism and the data acquisition end, obtain various types of data and outwards issue.
The 5th step, the calling interface of five kinds of services of realization in user monitoring end network middleware module.
User monitoring end network middleware module is a module that meets UPnP ControlPoint standard, has born the interactive function that calls to the service of data collection terminal.
In order to monitor a plurality of data acquisition equipments simultaneously, the present invention is provided with a data structure UPnPDevice_queue structure among user monitoring end network middleware module, this structure comprises the facility information structure UPnPDevice of UPnP, and the ID of this equipment number and its current system configuration table, a plurality of facility information structures are formed an equipment chained list.When new data acquisition end entered network, this module at first was inserted into newfound data acquisition end structure in the equipment chained list, and called the PCT that Get_PCT service obtains this data acquisition end and insert in the corresponding data acquisition end structure.The information of last signaling user visual interface newly added node.When data acquisition end or data center shifted out network, at first with the corresponding data collection terminal structure in the sweep equipment formation, the signaling user interface shifted out the information of node then.
Corresponding with five service models, user monitoring end network middleware module provides mutually deserved service call interface and service feedback processing interface, and these interfaces are based on the UPnP function library.The present invention has defined five signal Processing functions:
◆Sigact_UPnP_FD_Service_Get_DATA()
◆Sigact_UPnP_FD_Service_Get_PCT()
◆Sigact_UPnP_FD_Service_Get_RDC()
◆Sigact_UPnP_FD_Service_Set_PCT()
◆Sigact_UPnP_FD_Service_Set_RDC()
Wherein comprised the operation of service call and service feedback at these signal Processing functions.The user interface process is accepted user's operation, by the above-mentioned signal Processing function of signal excitation, thereby reaches the target of calling the UPnP service and handling feedback result.
The present invention is mutual by aforementioned data collection terminal and user monitoring end, has realized the collection and the issue of fault diagnosis data.
Major advantage of the present invention is summarized as follows:
1. the automatic configuration that moves in and out of data acquisition end is finished in the dynamic change of network enabled framework.Because the support of UPnP network middleware, system simplification work such as the registration that brings because of the variation of network topology structure, configuration, saved the equipment operation cost.
2. can carry out Long-distance Control to target device by network.The user can be by failure data acquisition pattern, the systematic parameter allocation list on the network settings target device, even start and stop that can control-target equipment.
3. realized control and the service call of a user monitoring end, reduced the redundancy issue of control module in the fault diagnosis monitoring network in the past, saved the entire system cost a plurality of data acquisition ends.
4. utilize middleware Technology to realize the modularization of network function, be convenient to the upgrading and the dilatation of system.
Description of drawings
Fig. 1 is based on the fault diagnosis system utilization scene synoptic diagram of UPnP
The structural representation of the XML of Fig. 2 five service models
Fig. 3 D-NMC inside modules interface structure synoptic diagram
UPnPWriteData function process flow diagram among Fig. 4 D-NMC
UPnPReadData function process flow diagram among Fig. 5 D-NMC
Fig. 6 Get_Package service interface function schematic flow sheet
Fig. 7 Get_PCT service interface function schematic flow sheet
Fig. 8 Set_PCT service interface function schematic flow sheet
Fig. 9 Get_RDC service interface function schematic flow sheet
Figure 10 Set_RDC service interface function schematic flow sheet
Figure 11 D-MNC process main flow synoptic diagram
Figure 12 U-NMC inside modules interface structure synoptic diagram
Send_current_pid function process flow diagram in Figure 13 U-NMC module
Get_others_pid function process flow diagram in Figure 14 U-NMC module
Get class service call function process flow diagram in Figure 15 U-NMC module
Set class service call function process flow diagram in Figure 16 U-NMC module
UPnPDeviceDiscoverSink function process flow diagram in Figure 17 U-NMC module
The signal of Figure 18 UPnP equipment chain list structure
UPnPDeviceRemoveSink function process flow diagram in Figure 19 U-NMC module
Figure 20 U-NMC module main flow synoptic diagram
Embodiment
The invention will be described further below in conjunction with accompanying drawing and example:
Example of the present invention is the fault diagnosis system towards large-scale slewing, and this system is made up of MSP430 data collecting card, Hp-5550-PDA user monitoring end, industrial computer database service node, industrial local network; This system is applied to industries such as metallurgy, water conservancy.The present invention has realized the collection and the issue of Fault Diagnosis of Rotating Equipment Based data in this system.
Fault diagnosis and detection system based on UPnP middleware network under the present invention have comprised three kinds of equipment: data acquisition equipment, user monitoring equipment, data service unit.As a setting, introduce the framework of total system earlier:
As shown in Figure 1, data acquisition equipment is installed near the instrument of industry spot, status datas such as the equipment rotation that pick-up transducers obtains, vibrations, and carry out initial analysis and data formatting; User monitoring equipment (as the PDA monitoring client among the figure, mobile PC monitoring client) is asked for packet by Ethernet to data acquisition equipment, carries out state analysis and failure prediction; These data also can be obtained and be recorded in by data service unit in the middle of the database according to being provided with; The operation of all right control data collecting device of user monitoring section, and the acquisition historical data is used for analyzing from data service unit.
Below introduce the wherein realization of data acquisition end middleware module and user monitoring section middleware module:
◆ the first step: Fault Diagnosis of Rotating Equipment Based system data type is divided
The present invention has analyzed the monitoring demand and the characteristic of large-scale Fault Diagnosis of Rotating Equipment Based industry, has summed up the related data of the large-scale Fault Diagnosis of Rotating Equipment Based of three classes system:
◆ target device operation conditions sampled data---RDATA
◆ data collecting card parameter configuration table data---PCT
◆ data collecting card running state data---RDC
Wherein, the data scale of RDATA and PCT is bigger, so two Data Transport Protocols that the present invention is directed to this two classes design data have defined the method for the form of two kinds of packets and encapsulation, parsing.
The RDATA data packet format that sets for the RDATA Data Transport Protocol as shown in table 1.
| The fast data sub-packets that becomes | Static data bag | Gradual data ﹠ switching value data bag | ||||||
| Check code | Fast parameter is according to packet header | Fast parameter certificate | Check code | Static data packet header | Static data | Check code | The slow data packet head of opening | Gradual ﹠ switching value data |
Table 1
RDATA is that data collecting card changes the data that sampling obtains from monitoring objective equipment by sensor and AD standard, and wherein common data class has rotating speed, temperature, distance of shaft centers or the like.These data are classified as three kinds of subclasses again:
1. fast parameter certificate---the multichannel vibration signal of target device.
2. gradual data and switching value---the rate of change that is meant flow, temperature, pressure etc. is slower, the equipment operation parameter that sample frequency is lower.Switching value is meant the equipment operation parameter that only has two states, such as opening or closing of safety valve.
3. static data---fast parameter is according to the result through various numerical operation gained.
These three kinds of subclass data correspond respectively to three data sub-packets in the RDATA packet---become data sub-packets, gradual data and switch quantum bag, static data bag soon.The RDATA packet just is made up of these three packets and some header packet informations.
The PCT data packet format that sets for the PCT Data Transport Protocol as shown in table 2.
| A: systematic parameter is purchased table label: 8bytes | B: sample mode: 1byte | C: sample frequency: 4bytes | D: sampling number: 4bytes | F: abnormality sampling interval time: 4bytes | G: packet is uploaded the cycle: 4bytes |
| The random number of time+4bytes at that time of 4bytes | 0-key phase 1-regularly | As A=0, then B is meaningless, fills out 0 | E: normal condition sampling interval time: 4bytes | General identical with E | Be defaulted as two seconds |
| H: the minimum rotating speed of sampling that begins: 8bytes | J: raising speed sampling tabulation: 2byte * 32 | K: reduction of speed sampling tabulation: 2byte * 32 | L: fault sampling T.T.: 4bytes | M: fast flexible road sum: 1byte | N: fast flexible road tabulation: 2bytes |
| I: specified operate as normal rotating speed: 8bytes | 32 unit.Each unit 2bytes, a momentary rate must sampling in the expression raising speed. | 32 unit.Each unit 2bytes, a momentary rate must sampling in the expression reduction of speed. | 0～12 | (first on the left side is a first passage) from left to right, the 1-passage is opened, the 0-pathway closure. | |
| O: fast flexible road is described: 20byte * 12 | O: fast flexible track data side-play amount: 8byte * 12 | O: fast flexible track data correction factor: 8byte * 12 | P: gradual total number of channels: 1byte | Q: gradual channel list: 8bytes | R: gradual passage is described: 20byte * 64 |
| (first on the left side is a first passage) from left to right, each passage is described as 10 Chinese characters. | (first on the left side is a first passage) from left to right, each channel data side-play amount is 8byte | (first on the left side is a first passage) from left to right, each channel data side-play amount is 8byte | 0～64 | Corresponding maximum 64 the gradual passages (from left to right, first on the left side is a first passage) of step-by-step.This passage of 1-is opened, this pathway closure of 0-. | (first on the left side is a first passage) from left to right, each passage is described as 10 Chinese characters. |
| O: gradual channel data side-play amount: 8byte * 64 | O: gradual channel data correction factor: 8byte * 64 | S: static data species number: 1bytes | S: static data title: 20byte * 24 | Systematic parameter 1 title: 20bytes | Systematic parameter 2 titles: 20bytes |
| (first on the left side is a first passage) from left to right, each channel data side-play amount is 8 byte | (first on the left side is a first passage) from left to right, each channel data side-play amount is 8byte | 0～24 | (first on the left side is first kind of static data title) from left to right, every kind of static data title accounts for 10 Chinese characters. | Systematic parameter 1 numerical value: 8bytes | Systematic parameter 2 numerical value: 8 bytes |
| Systematic parameter 3 titles: 20bytes | Systematic parameter 4 titles: 20bytes | Systematic parameter 5 titles: 20bytes | Systematic parameter 6 titles: 20bytes | Systematic parameter 7 titles: 20bytes | Systematic parameter 8 titles: 20bytes |
| Systematic parameter 3 numerical value: 8bytes | Systematic parameter 4 numerical value: 8 bytes | Systematic parameter 5 numerical value: 8 bytes | Systematic parameter 6 numerical value: 8bytes | Systematic parameter 7 numerical value: 8bytes | Systematic parameter 8 numerical value: 8 bytes |
| System reserves 512bytes | |||||
Table 2
Parameter configuration table is the foundation of data collecting card working method, comprising " sample mode ", " sample frequency ", " sampling number ", the parameter of five control data collection terminal slave computer sampling frequency such as " normal/abnormal sampling time intervals ", " fast flexible road sum ", " fast flexible road tabulation ", three fast parameters that fast flexible road is set such as " become the acquisition channel scope soon " are according to acquisition parameter, " gradual total number of channels ", " gradual channel list ", three gradual data acquisition parameters that gradual passage is set such as " gradual acquisition channel scopes ", and a static data parameter " the static data form of every passage "; In addition, " raising speed/reduction of speed sampling tabulation " and " the minimum rotating speed of sampling that begins " and " specified operate as normal rotating speed " three rotating speeds also are described in the systematic parameter allocation list with a sampling corresponding relation parameter and a malfunction parameter " fault sampling T.T. ".
The expansion of the space of reserving systematic parameter allocation list during for system upgrade provides convenience.
◆ second step: the XML definition of five service models
According to the regulation of UPnP forum, UPnP equipment and service all use the XML file to describe, and when UPnP equipment is outwards announced the information of oneself, also are to realize by one section XML that comprises equipment, information on services of outside issue.
Be illustrated in figure 2 as the structural representation of the XML of pairing five service models of this example.Wherein comprised following essential information item:
＜actionList〉below comprised five kinds of function＜action that service is concrete description, each＜action〉comprised＜name,＜argumentList〉attribute,＜argumentList〉in the used interface parameters of this function interface has been described, comprise＜name,＜direction 〉,＜relatedStateVariable〉attribute, wherein＜direction〉can be to import, export, return,＜relatedStateVariable indicated the UPnP data type of parameter.
＜serviceStateTable〉defined the UPnP data type that these services are used, comprising several＜stateVariable 〉, each＜stateVariable〉comprise＜name and＜dataType〉attribute, wherein＜and dataType〉attribute indicated this UPnP data type institute to deserved basic data type.
◆ the 3rd step: data acquisition end network middleware module (D-NMC) design.
As shown in Figure 3, be D-NMC inside modules interface structure synoptic diagram.The D-NMC module interface mainly is divided into four parts.The UPnP function library partly comprises UPnPLibParsers storehouse and UPnPMicroStack storehouse, is the UPnP basic function interface of encapsulation, for the realization of upper strata UPnP service interface provides support.Auxiliary function partly is mainly shared drive operation-interface and semaphore operations interface, has encapsulated the operation of these objects is called for service interface.The failure diagnosis data collection service interface is the direct correspondence of five service models, the corresponding and service of each interface.Principal function has been controlled the flow process of whole network middleware process.
As shown in Figure 4, be UPnPWriteData function process flow diagram among the D-NMC.This function is used for writing the RDATA packet to the shared memory space of appointment by Get_Package service interface function call.Whether correct, withdraw from otherwise make mistakes if at first detecting the packet that imports into, correctly then call UPnPWait function setup semaphore, writes shared drive then, and release semaphore is returned again.
As shown in Figure 5, be UPnPReadData function process flow diagram among the D-NMC.This function is used for writing the RDATA packet to the shared memory space of appointment by Get_Package service interface function call.Check at first whether object space pointer ppackage is effective, invalid returning-1; Effectively then call UPnPWait (), wait for resource; Copy internal memory then, with the copying data among the ppackage in shared drive; Release semaphore is returned again.
As shown in Figure 6, be Get_Package service interface function schematic flow sheet.This interface obtains packet from the failure data acquisition process, and is published in the network.At first open up interim buffer memory, call UPnPReadData then, to buffer memory, call UPnP function U PnPResponse_FD_UPnP_ESE1_Service_Get_PACKAGE from the shared drive read data packet then, to the reference mark of the service of calling return data bag.
As shown in Figure 7, be Get_PCT service interface function schematic flow sheet.The configuration parameter that this interface rectifies data acquisition in use feeds back to the inquiry.At first open up interim buffer memory, call UPnPReadData then, read parameter configuration table PCT to buffer memory from shared drive, call UPnP function: UPnPResponse_FD_UPnP_ESE1_Service_Get_PCT then, to the reference mark of the service of calling return parameters allocation list.
As shown in Figure 8, be Set_IPT service interface function schematic flow sheet.This interface is accepted the new argument allocation list that the reference mark passes over, and the operation of data acquisition end is set with new allocation list.At first check the size of new argument allocation list,, directly call feedback function and return if incorrect; If the IPT size is correct, open the file of storing IP T, new IPT is write file and closes it, call UPnP built-in function: UPnPResponse_FD_UPnP_ESE1_Service_Set_IPT at last, return to the reference mark of the service of calling.
As shown in Figure 9, be Get_RDC service interface function schematic flow sheet.This interface running status that the data acquisition end is current feeds back to the inquiry.At first open up temporary variable curRDC, read the RDC assignment to curRDC from shared drive then, call the UPnP built-in function then: UPnPResponse_FD_ UPnP_ESE1_Service_Get_RDCRDC, to the reference mark of the service of calling Returning equipment running status RDC.
As shown in figure 10, be Set_RDC service interface function schematic flow sheet.This interface is accepted the new state that the reference mark passes over, and changes the running status of data acquisition end according to this.Check at first whether new running state parameter is correct,, directly call feedback function and return if incorrect; If correct, the value of new_RDC is written in the shared drive piece of RDC, call UPnP built-in function: UPnPResponse_FD_UPnP_ESE1_Service_Set_RDC at last, to the reference mark of the service of calling return result.
As shown in figure 11, be D-MNC process main flow synoptic diagram.The main function is at first finished a series of initial work, comprises connecting shared drive, establishment chain model, the number of expression of generation equipment, establishment UPnP protocol stack, specified services call back function, specification signal processing function.Afterwards, the main function enters to block and waits for, waits for variety of event or signal and carries out respective handling.When process receives the SIGINT signal, the main function is jumped out obstruction, and connection to shared drive is also finished in the releasing memory space, returns.
◆ the 4th step: user monitoring end network middleware module U-NMC design.
As shown in figure 12, be U-NMC inside modules interface structure synoptic diagram.The U-NMC module interface mainly is divided into four parts.Bottom is that the UPnP function library partly comprises UPnPLibParsers storehouse and UPnPMicroStack storehouse, for the realization of upper strata UPnP service interface provides support.Auxiliary function has partly encapsulated the operation-interface to shared drive and semaphore.The data acquisition unit control function is corresponding with five service interfaces of D-MNC, the feedback of being responsible for calling the UPnP service and handling service.Principal function has been controlled the flow process of whole network middleware process.
As shown in figure 13, be send_current_pid function process flow diagram in the U-NMC module.This function obtains this process pid, and externally announces with pipeline.At first call getpid () and obtain current process pid, open FIFO then and pid is write pipeline, close pipeline at last and return.Running into mistake in the above step promptly returns.
As shown in figure 14, be get_others_pid function process flow diagram in the U-NMC module.This function reads the pid of other process from pipeline.At first open the FIFO_PID pipeline, read an integer then from pipeline, assignment is given pid, closes pipeline at last, returns pid.Running into mistake in the above step promptly returns.
As shown in figure 15, be Get class service call function process flow diagram in the U-NMC module.Get class service call comprises Sigact_UPnP_FD_Service_Get_DATA function, Sigact_UPnP_FD_Service_Get_PCT function and Sigact_UPnP_FD Service_Get_RDC function.This class function response upper layer procedures---signal of user interface process or data processing process is finished the processing of calling and feeding back to the service of data collection terminal Get class.When the signal of upper layer procedures arrives, at first call the service that the device services calling interface of UPnP encapsulation removes to call the data acquisition end, it is to be feedback to get back to blocked state etc. then; When feedback arrival, judge at first whether the data of returning are correct, if correct, then data write pipeline or shared memory space, thereby pass to upper layer procedures, last, signal the performance that upper layer procedures is served.
As shown in figure 16, be Set class service call function process flow diagram in the U-NMC module.Set class service call comprises Sigact_UPnP_FD_Service_Set_PCT function and Sigact_UPnP_FD Service_Set_RDC function.The signal of this class function response upper layer procedures is finished the processing of calling and feeding back to the service of data collection terminal Set class.When the signal arrival of upper layer procedures, it is effectively correct to judge at first whether new PCT or new RDC meet; If not, then report an error and withdraw from; If correct, then call the service that the device services calling interface of UPnP encapsulation removes to call the data acquisition end, it is to be feedback to get back to blocked state etc. then; When feedback arrival, judge at first whether the data of returning are correct, if correct, then data write pipeline or shared memory space, thereby pass to upper layer procedures, last, signal the performance that upper layer procedures is served.
As shown in figure 17, be UPnPDeviceDiscoverSink function process flow diagram in the U-NMC module.This function is called when new equipment adds the UPnP network, finishes the record to new equipment information and information on services thereof.At first obtain device name and judge its type, this equipment of record in UPnP equipment chained list signals to the adding that the user interface process is notified this equipment then, withdraws from last.Figure 18 is a UPnP equipment chain list structure synoptic diagram.
As shown in figure 19, be UPnPDeviceRemoveSink function process flow diagram in the U-NMC module.This function is called when networked devices breaks away from network, finishes the deletion to this device-dependent message.At first obtain implementor name, the type of judgment device is searched the information node of this equipment then in list of devices, revises the relevant pointer of this joint then, makes its space that breaks away from tabulation and discharge this contact, finishes at last to withdraw from.
As shown in figure 20, be U-NMC module main flow synoptic diagram.The main function is finished following initial work: produce reference mark ID, initialization globle_query_result_node, create required four pipelines, registration signal and processing function thereof, call ILibCreateChain (), UPnPCreateControlPoint () finishes the UPnP initialization; After this call ILibStartChain (), begin to block and wait for; Then finish corresponding function when receiving the service call signal, then finish to withdraw from when receiving the SIGINT signal.
Claims (3)
1, a kind of failure diagnosis data collection and dissemination method is characterized in that: mainly comprise the steps:
The first step is divided three classes significant data related in the fault diagnosis system: sampled data, configuration data and state control data;
Sampled data is the equipment operating data that data acquisition end capture card is gathered from monitoring objective equipment, and sampled data is outwards issued by the data acquisition end, flows to user monitoring end or database service end;
Configuration data is used for data capture card function is customized, attributes such as the frequency of sampling, pipeline number, sampling pattern have been stipulated, configuration data works in data acquisition end and user's control end simultaneously, the data acquisition end reads allocation list during system start-up from storer, when watching certain data acquisition end, the user monitoring end at first obtains its allocation list from this data acquisition end, if the user monitoring end revised allocation list and made it come into force, then new configuration data sends to collection terminal and is reloaded from monitoring client;
State control data is described the collection terminal running status, state control data is present in the data acquisition end, controlling its operation or stopping, thus the user monitoring end ask for state control data to collection terminal and learn its running status, revise its running status thereby revise these data;
In second step, the operation that data acquisition is relevant with issue is divided into two classes: Get generic operation and Set generic operation;
The Get generic operation refers to by the user monitoring end and proposes to the data acquisition end, and the operation of obtaining some data comprises and obtain sampled data, obtain configuration data, obtain state control data that when the Get generic operation takes place, fault diagnosis system is finished following action:
(1), the user monitoring end proposes the request obtain certain class data to the data acquisition end;
(2), the data acquisition end obtain the request, carry out mutually deserved collection housekeeping;
(3), the data acquisition end is to user's control end feedback data;
(4), the user monitoring end obtain the feedback, resolution data is used for other function;
The Set generic operation refers to by user's control end and transmits some data to the data acquisition end, makes the operation that the data acquisition end obtains being provided with to comprise configuration data being set and state control data being set that when the Set generic operation took place, fault diagnosis system was finished following action:
(1), the user monitoring end proposes the request of certain class data is set to the data acquisition end, and transmits this data;
(2), the data acquisition end obtains request and corresponding data, resolution data;
(3), the data acquisition end is finished relative set, and is fed back the performance that is provided with to the user monitoring end;
(4), the user monitoring end obtain the feedback, take corresponding processing;
In the 3rd step, set up the fault diagnosis and the detection system service model that meet the UPnP standard;
According to the analysis of two steps in front design, and, extract failure data acquisition and the basic service that issue is comprised, be used to satisfy the functional requirement of Rotary Fault Diagnosis System the data collection point according to the device definition basic model of UPnP;
The 4th step is at the interface of five kinds of services of data acquisition end network middleware module realization;
Data acquisition end network middleware module is used to bear all external network interaction functions of data acquisition end, the calling interface of basic service externally is provided, the all corresponding and Action who meets the UPnP standard of each service, after collection terminal UPnP middleware receives the services request that other nodes are sent on the network, certain corresponding Action can be activated, thereby provide corresponding service to the external world, these functions are undertaken alternately by the process of being responsible for obtaining from capture card data in shared drive mechanism and the data acquisition end, obtain various types of data and outwards issue;
The 5th step, the calling interface of five kinds of services of realization in user monitoring end network middleware module; User monitoring end network middleware module is the interactive function that calls that is used to bear to the service of data collection terminal.
2, failure diagnosis data collection according to claim 1 and dissemination method is characterized in that: described extraction failure data acquisition and the basic service that issue is comprised comprise five following service models:
● the real-time running state data, services of acquisition target device,
● the service of acquisition target device systematic parameter allocation list,
● the service of modifying target device systems parameter configuration table,
● the service of acquisition target device running status,
● the service of modifying target equipment running status.
3, failure diagnosis data collection according to claim 1 and dissemination method, it is characterized in that: among user monitoring end network middleware module, be provided with a data structure UPnPDevice_queue structure, this structure comprises the facility information structure UPnPDevice of UPnP, and the ID of this equipment number and its current system configuration table, a plurality of facility information structures are formed an equipment chained list; When new data acquisition end enters network, this module at first is inserted into newfound data acquisition end structure in the equipment chained list, and the PCT that calls this data acquisition end of Get_PCT service acquisition inserts in the corresponding data acquisition end structure information of last signaling user visual interface newly added node; When data acquisition end or data center shifted out network, at first with the corresponding data collection terminal structure in the sweep equipment formation, the signaling user interface shifted out the information of node then.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200510060703 CN1794242B (en) | 2005-09-09 | 2005-09-09 | Failure diagnosis data collection and publishing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200510060703 CN1794242B (en) | 2005-09-09 | 2005-09-09 | Failure diagnosis data collection and publishing method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN1794242A true CN1794242A (en) | 2006-06-28 |
| CN1794242B CN1794242B (en) | 2010-04-28 |
Family
ID=36805676
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 200510060703 Expired - Fee Related CN1794242B (en) | 2005-09-09 | 2005-09-09 | Failure diagnosis data collection and publishing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN1794242B (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101867500A (en) * | 2010-05-21 | 2010-10-20 | 浙江工业大学 | Method and system for realizing embedded type common plug-and-play device status monitoring adaptive network structure |
| CN101883094A (en) * | 2010-05-21 | 2010-11-10 | 浙江工业大学 | Embedded universal plug and play industrial monitoring network database service system |
| CN101237356B (en) * | 2007-01-29 | 2012-05-23 | 国际商业机器公司 | System and method for monitoring |
| CN103197162A (en) * | 2012-01-04 | 2013-07-10 | 中国人民解放军第二炮兵工程学院 | Multiple switch parameter fault diagnosis method based on template matching |
| CN103792928A (en) * | 2014-02-24 | 2014-05-14 | 东南大学 | Industrial field data collecting and analyzing system based on Modbus |
| CN103957228A (en) * | 2012-11-02 | 2014-07-30 | 洛克威尔自动控制技术股份有限公司 | Cloud based drive monitoring solution |
| CN105764070A (en) * | 2014-12-15 | 2016-07-13 | 华为技术有限公司 | Scene map training and wireless network testing methods and device |
| CN105795497A (en) * | 2016-04-11 | 2016-07-27 | 浙江中烟工业有限责任公司 | Data collecting method for improving fault analysis of cut-tobacco dryer |
| CN106941458A (en) * | 2017-02-21 | 2017-07-11 | 深圳市智物联网络有限公司 | The method and device of data transfer |
| CN110221776A (en) * | 2019-05-10 | 2019-09-10 | 苏州汇川技术有限公司 | Exception information processing method, system, device, that is, computer readable storage medium |
| CN112098836A (en) * | 2020-08-14 | 2020-12-18 | 贵州乌江水电开发有限责任公司东风发电厂 | Motor unstable data elimination method and system based on electrical distortion analysis |
| CN112751688A (en) * | 2019-10-30 | 2021-05-04 | 中兴通讯股份有限公司 | Flow control processing method of OTN device, electronic device and storage medium |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3612472B2 (en) * | 2000-06-22 | 2005-01-19 | 株式会社日立製作所 | Remote monitoring diagnosis system and remote monitoring diagnosis method |
| CN100438423C (en) * | 2002-08-06 | 2008-11-26 | 华为技术有限公司 | Telecommunication equipment fault information managing method |
| JP2005219717A (en) * | 2004-02-09 | 2005-08-18 | Hitachi Ltd | Abnormality diagnosing device of vehicle/on-vehicle instrument |
-
2005
- 2005-09-09 CN CN 200510060703 patent/CN1794242B/en not_active Expired - Fee Related
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101237356B (en) * | 2007-01-29 | 2012-05-23 | 国际商业机器公司 | System and method for monitoring |
| CN101867500A (en) * | 2010-05-21 | 2010-10-20 | 浙江工业大学 | Method and system for realizing embedded type common plug-and-play device status monitoring adaptive network structure |
| CN101883094A (en) * | 2010-05-21 | 2010-11-10 | 浙江工业大学 | Embedded universal plug and play industrial monitoring network database service system |
| CN101867500B (en) * | 2010-05-21 | 2012-05-30 | 浙江工业大学 | Method and system for realizing embedded type common plug-and-play device status monitoring adaptive network structure |
| CN101883094B (en) * | 2010-05-21 | 2012-11-14 | 浙江工业大学 | Embedded universal plug and play industrial monitoring network database service system |
| CN103197162B (en) * | 2012-01-04 | 2016-02-17 | 中国人民解放军第二炮兵工程学院 | A kind of Multi-Switch parameter method for diagnosing faults based on template matches |
| CN103197162A (en) * | 2012-01-04 | 2013-07-10 | 中国人民解放军第二炮兵工程学院 | Multiple switch parameter fault diagnosis method based on template matching |
| CN103957228A (en) * | 2012-11-02 | 2014-07-30 | 洛克威尔自动控制技术股份有限公司 | Cloud based drive monitoring solution |
| CN103957228B (en) * | 2012-11-02 | 2017-06-09 | 洛克威尔自动控制技术股份有限公司 | Driving monitoring scheme based on cloud |
| CN103792928A (en) * | 2014-02-24 | 2014-05-14 | 东南大学 | Industrial field data collecting and analyzing system based on Modbus |
| CN103792928B (en) * | 2014-02-24 | 2016-08-03 | 东南大学 | A kind of industrial field data acquisition analysis system based on Modbus |
| CN105764070A (en) * | 2014-12-15 | 2016-07-13 | 华为技术有限公司 | Scene map training and wireless network testing methods and device |
| CN105795497A (en) * | 2016-04-11 | 2016-07-27 | 浙江中烟工业有限责任公司 | Data collecting method for improving fault analysis of cut-tobacco dryer |
| CN106941458A (en) * | 2017-02-21 | 2017-07-11 | 深圳市智物联网络有限公司 | The method and device of data transfer |
| CN110221776A (en) * | 2019-05-10 | 2019-09-10 | 苏州汇川技术有限公司 | Exception information processing method, system, device, that is, computer readable storage medium |
| CN112751688A (en) * | 2019-10-30 | 2021-05-04 | 中兴通讯股份有限公司 | Flow control processing method of OTN device, electronic device and storage medium |
| CN112098836A (en) * | 2020-08-14 | 2020-12-18 | 贵州乌江水电开发有限责任公司东风发电厂 | Motor unstable data elimination method and system based on electrical distortion analysis |
| CN112098836B (en) * | 2020-08-14 | 2021-05-14 | 贵州乌江水电开发有限责任公司东风发电厂 | Motor unstable data elimination method and system based on electrical distortion analysis |
Also Published As
| Publication number | Publication date |
|---|---|
| CN1794242B (en) | 2010-04-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN1794242A (en) | Failure diagnosis data collection and publishing method | |
| CN1313923C (en) | A software distribution method and system | |
| CN103062862B (en) | Remote fault processing method for intelligent air conditioner | |
| CN1741460A (en) | Method and system for realizing telecommunication network universal performance management | |
| CN1858719A (en) | Method for realizing automatic test and its system | |
| CN1822553A (en) | Service framework for home network | |
| CN104104674A (en) | Multiprotocol distributed data acquisition control system of equipment sensor and method thereof | |
| CN1673639A (en) | Air-conditioning system for integrating multiple areas | |
| CN1481122A (en) | Method for controlling and managing electrical appliances in household network | |
| CN101056220A (en) | Central monitoring method of the data service system without network management interface | |
| CN1731748A (en) | Testing system and method | |
| CN1604088A (en) | Fault collection and detection apparatus and method | |
| CN101067864A (en) | Long-distance controlling apparatus using for crops production expert diagnosing system and method thereof | |
| CN1874272A (en) | Method for recognizing failure node in network | |
| CN101587497A (en) | The embedded service function data acquisition unit of digital control system | |
| CN1841336A (en) | Computer testing method | |
| CN101615815A (en) | Collocation method to different acquisition units parameter reorganization demonstration in the electric power monitoring system | |
| CN1280754C (en) | Embedded and networked remote input and output system | |
| JP4138842B2 (en) | Mounting condition determination method | |
| CN1975726A (en) | Data center server, data service system and data query method | |
| CN102148702A (en) | Method for managing network by utilizing network configuration protocol | |
| CN108600181A (en) | A kind of parsing configuration method for supporting polymorphic type communication protocol | |
| CN102158521A (en) | Ethernet-based computerized flat knitter on-line measurement and control system | |
| CN1905476A (en) | Managing system and method for terminal products | |
| CN101883146A (en) | Remote fault diagnosis method for digging machine |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20100428 Termination date: 20110909 |